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The Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques

cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-2535-8370
cris.virtual.author-orcid0000-0002-8244-2763
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid898dc715-0fc1-42af-a4d7-0bc909752fee
cris.virtualsource.author-orcidb06a0b04-dd89-4025-a198-6d97db2079f2
dc.abstract.enThis article describes chemical and physical parameters, including their role in the storage, trade, and processing of potatoes, as well as their nutritional properties and health benefits resulting from their consumption. An analysis of the share of losses occurring during the production process is presented. The methods and applications used in recent years to estimate the physical and chemical parameters of potatoes during their storage and processing, which determine the quality of potatoes, are presented. The potential of the technologies used to classify the quality of potatoes, mechanical and ultrasonic, and image processing and analysis using vision systems, as well as their use in applications with artificial intelligence, are discussed.
dc.affiliationWydział Nauk o Żywności i Żywieniu
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Mleczarstwa i Inżynierii Procesowej
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorDanielak, Marek
dc.contributor.authorPrzybył, Krzysztof
dc.contributor.authorKoszela, Krzysztof
dc.date.access2025-10-31
dc.date.accessioned2025-11-03T07:01:04Z
dc.date.available2025-11-03T07:01:04Z
dc.date.copyright2023-02-05
dc.date.issued2023
dc.description.abstract<jats:p>This article describes chemical and physical parameters, including their role in the storage, trade, and processing of potatoes, as well as their nutritional properties and health benefits resulting from their consumption. An analysis of the share of losses occurring during the production process is presented. The methods and applications used in recent years to estimate the physical and chemical parameters of potatoes during their storage and processing, which determine the quality of potatoes, are presented. The potential of the technologies used to classify the quality of potatoes, mechanical and ultrasonic, and image processing and analysis using vision systems, as well as their use in applications with artificial intelligence, are discussed.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographybibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,4
dc.description.number4
dc.description.points100
dc.description.versionfinal_published
dc.description.volume23
dc.identifier.doi10.3390/s23041787
dc.identifier.eissn1424-8220
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5680
dc.identifier.weblinkhttps://www.mdpi.com/1424-8220/23/4/1787
dc.languageen
dc.relation.ispartofSensors
dc.relation.pagesart. 1787
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enpotato
dc.subject.entuber
dc.subject.enquality assessment
dc.subject.ensorting machines
dc.subject.engrading
dc.subject.enultrasound
dc.subject.enneural networks
dc.subject.enmachine vision
dc.subject.ennondestructive method
dc.subject.ennoninvasive method
dc.subtypeReviewArticle
dc.titleThe Need for Machines for the Nondestructive Quality Assessment of Potatoes with the Use of Artificial Intelligence Methods and Imaging Techniques
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue4
oaire.citation.volume23